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TOPAS-nBio-Reg: a regression testing system for track structure simulations in TOPAS-nBio.

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Summary
This summary is machine-generated.

A new regression testing system for TOPAS-nBio (a Geant4-DNA wrapper) ensures code quality. This system helps track changes in radiation transport simulations, with most results within 5% across versions.

Keywords:
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Area of Science:

  • Medical Physics
  • Computational Biology
  • Radiation Research

Background:

  • TOPAS-nBio is a Monte Carlo code for simulating radiation transport and radiobiology.
  • Ensuring the accuracy and reliability of simulation software is crucial for research.
  • Regression testing is vital for managing code changes and maintaining software integrity.

Purpose of the Study:

  • To develop and implement a publicly available regression testing system for TOPAS-nBio.
  • To evaluate the physical and chemical simulation capabilities of different TOPAS-nBio versions.
  • To provide a tool for developers and users to assess the impact of code modifications.

Main Methods:

  • Developed a regression testing suite comprising seven tests for TOPAS-nBio.
  • Compared three versions: TOPAS-nBio-v2.0, v3.0, and v4.0.
  • Analyzed execution times, inter-version variations, and agreement with experimental/simulated data.

Main Results:

  • TOPAS-nBio-v3.0 showed faster execution times than v2.0 due to an updated Geant4 version.
  • Most point-to-point differences between TOPAS-nBio versions were within 5%.
  • Radiolytic yields (G-values) for H2 and H2O2 showed moderate differences (16% and 10%) between v3.0 and v4.0.

Conclusions:

  • The regression testing system enables rigorous reporting of changes in radiation transport simulations.
  • It facilitates the validation of code updates from collaborators and contributors.
  • End-users can now easily assess how code modifications affect simulation results for specific applications.